Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS)enterprise image systemsartificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

Nina Kottler, MD, Radiology Partners, offers overview of the U.S. AI regulatory landscape as government and radiologists work on ways to ensure artificial intelligence is not bias and works properly.

Overview of the regulatory landscape of AI in radiology

Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias. 

Medical imaging trends to watch in 2025

The healthcare market analysis firm Signify Research released a list of predictions in radiology its analysts expect to see in 2025. 

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GPT-4 helps ensure recommendations for additional imaging aren't overlooked in reports

Recommendations for additional imaging are routinely included in radiology reports but are sometimes overlooked or not communicated in a timely manner. Experts believe large language models can help address these lapses in care. 

GPT-4 can proofread radiology reports for a penny apiece

Researchers estimate that it could cost less than $0.01 per report to use the large language model as a radiology report proofreader. 

DL model identifies and segments lung tumors on CT scans.

Deep learning model halves lung tumor segmentation times

In a new clinical study, the model was able to maintain its performance on scans completed on different types of CT equipment across multiple medical centers.  

Radiology "maestro" addresses department workflow hiccups.

'Ad hoc' shifts and radiology 'maestros': How one department addressed its workflow hiccups

The radiologist maestro assesses colleagues' needs in real-time and makes decisions accordingly at Children’s Hospital of Philadelphia. 

artificial intelligence healthcare industry digest

Prompts matter: How input elements affect large language model performance

Just like radiologists, the performance of large language models improves when given proper context. 

Video of Steve Rankin, chief strategy officer for Enlitic, explaining how AI can help standardize labeling of medical images.

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Around the web

One of the study's most significant findings was that patients managed using the advanced AI software saw LDL cholesterol drops of 18.7 mg/dL, with a 15% reduction in their risk of a cardiac event. Even patients with no calcified plaque saw significant changes in care management.

The use of advanced AI software to assess CCTA images continues to gain more momentum.

The new guidelines detail the use of echocardiography to evaluate patients for a variety of conditions.